Danielle P. Johnson

470 citations
7 papers · 387 indexed · h-index 5

Impact in

Papers in

Danielle P. Johnson

7 papers receiving 370 citations

Peers

Danielle P. Johnson
Comparison fields: 5 of 53
  • Endocrinology, Diabetes and Metabolism 180
  • Cancer Research 99
  • Molecular Biology 273
  • Oncology 97
  • Radiology, Nuclear Medicine and Imaging 41
Replace Maria Hassan with:
Maria Hassan Pakistan
Robert Cozens Switzerland
Qingsi He China
C. Melvin United States
Sandeep Kumar Parvathareddy Saudi Arabia
Liang Shao China
Howard B. Heidenberg United States
Ines Figueiredo United Kingdom
Gillianne Lai Singapore
Benjamin J. Gigliotti United States
Danielle P. Johnson relative to Maria Hassan Pakistan Maria Hassan's profile →
Citations per field
00.5×1.5×1.9×
Maria Hassan · 1×
Citations per year

Countries citing papers authored by Danielle P. Johnson

Since Specialization
Citations

This map shows the geographic impact of Danielle P. Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danielle P. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle P. Johnson more than expected).

Fields of papers citing papers by Danielle P. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle P. Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danielle P. Johnson. The network helps show where Danielle P. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Danielle P. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle P. Johnson Line = papers co-authored together Danielle P. Johnson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202312
2 20214
3 20204
4 20195
5 201734
6 201430
7
A fully human monoclonal antibody to the insulin-like growth factor I receptor blocks ligand-dependent signaling and inhibits human tumor growth in vivo.
2003298

About Danielle P. Johnson

Danielle P. Johnson is a scholar working on Urology, Radiation, Hematology, Molecular Biology and Rheumatology, having authored 7 papers that have together received 387 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (180 citations), Cancer Research (99 citations), Molecular Biology (273 citations), Oncology (97 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Danielle P. Johnson has collaborated with scholars based in United States and France. Frequent co-authors include Dan Lu, Rashed Abdullah, Paul Kussie, Peter Böhlen, Zhenping Zhu, Andrea T. Hooper, Henry Koo, Dale L. Ludwig, Daniel J. Hicklin and Larry Witte. Their work appears in journals such as Leukemia, Oncotarget, The Journal of Alternative and Complementary Medicine, Cancers and EBioMedicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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